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2020 – today
- 2024
[j5]Chi-Hieu Pham
, Thien Huynh-The, Ehsan Sedgh Gooya, Marwa El Bouz, Ayman Alfalou:
Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption. Comput. Methods Programs Biomed. 243: 107854 (2024)- 2023
- [j4]Ikram Eddahmani, Chi-Hieu Pham, Thibault Napoléon, Isabelle Badoc, Jean-Rassaire Fouefack, Marwa El Bouz:
Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey. Sensors 23(4): 2362 (2023) - [c4]Raghida El Saj, Chi-Hieu Pham, Ehsan Sedgh Gooya, Ayman Alfalou, Mohamad Khalil:
Privacy Preserving Encoder Classifier for Access Control Based on Face Recognition. IPTA 2023: 1-5 - 2022
- [j3]Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson:
PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks. J. Math. Imaging Vis. 64(5): 569-585 (2022) - 2020
- [j2]Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI. Comput. Biol. Medicine 120: 103755 (2020) - [i2]Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson:
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks. CoRR abs/2006.07827 (2020)
2010 – 2019
- 2019
- [j1]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Multiscale brain MRI super-resolution using deep 3D convolutional networks. Comput. Medical Imaging Graph. 77 (2019) - [c3]Carlos Tor-Díez, Chi-Hieu Pham, Hélène Meunier, Sylvain Faisan, Isabelle Bloch, Nathalie Bednarek, Nicolas Passat, François Rousseau:
Evaluation of cortical segmentation pipelines on clinical neonatal MRI data. EMBC 2019: 6553-6556 - [c2]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. ISBI 2019: 991-994 - [i1]Saïd Ladjal, Alasdair Newson, Chi-Hieu Pham:
A PCA-like Autoencoder. CoRR abs/1904.01277 (2019) - 2018
- [b1]Chi-Hieu Pham:
Deep learning for medical image super resolution and segmentation. (Apprentisage profond pour la super-résolution et la segmentation d'images médicales). École nationale supérieure Mines-Télécom Atlantique, France, 2018 - 2017
- [c1]Chi-Hieu Pham, Aurélien Ducournau, Ronan Fablet, François Rousseau:
Brain MRI super-resolution using deep 3D convolutional networks. ISBI 2017: 197-200
Coauthor Index
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